Hyperscale Data (GPUS) EBITDA (2010 - 2026)

Hyperscale Data's (GPUS) quarterly EBITDA came in at -$21.3 million in Q1 2026, down 233.24% year-on-year from $16.0 million in Q1 2025, and up 32.89% on a QoQ basis from -$31.7 million in Q4 2025.

Hyperscale Data (GPUS) EBITDA (2010 - 2026) Analysis & Trends

Hyperscale Data (GPUS) has 17 years of EBITDA data on file, last reported at -$21.3 million in Q1 2026.

  • On a quarterly basis, EBITDA fell 233.24% year-over-year to -$21.3 million in Q1 2026; TTM through Mar 2026 was -$77.2 million, a 15.14% decrease from a year earlier, with the FY2025 full-year figure at -$62.3 million, down 9.29% from the prior year.
  • EBITDA for Q1 2026 stood at -$21.3 million, up from -$31.7 million in the prior quarter.
  • Over the last five years, EBITDA for GPUS reached as high as $3.7 million in Q1 2024 and fell as low as -$111.3 million in Q4 2022.
  • Historically, EBITDA has averaged -$25.6 million across 5 years, with a median of -$21.3 million in 2026.
  • Across the five-year window, EBITDA plunged 2999.32% in 2023 and surged 112.25% in 2024, its largest moves.
  • Year by year, EBITDA stood at -$111.3 million in 2022, then jumped by 53.16% to -$52.1 million in 2023, then jumped by 82.54% to -$9.1 million in 2024, then plunged by 248.16% to -$31.7 million in 2025, then jumped by 32.89% to -$21.3 million in 2026.
  • Per Business Quant data, the three most recent EBITDA figures were -$21.3 million in Q1 2026, -$31.7 million in Q4 2025, and -$14.1 million in Q3 2025.

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) EBITDA (Qtr)
1 General Electric 369.74 Bn 360.40 Bn -3.10 Bn -13.96 Bn
2 Rtx 286.79 Bn 278.48 Bn 9.91 Bn 2.81 Bn
3 Boeing 168.91 Bn 148.89 Bn 2.41 Bn 156.00 Mn
4 Lockheed Martin 132.03 Bn 128.24 Bn 2.45 Bn 2.48 Bn
5 Howmet Aerospace 111.81 Bn 109.37 Bn 854.00 Mn 753.00 Mn
6 General Dynamics 101.89 Bn 97.56 Bn 6.76 Bn 1.46 Bn
7 Northrop Grumman 75.58 Bn 73.27 Bn 3.72 Bn 1.10 Bn
8 TransDigm 72.49 Bn 68.61 Bn 1.51 Bn 1.18 Bn
9 L3Harris Technologies 50.52 Bn 49.93 Bn 1.40 Bn 652.00 Mn
10 Hyperscale Data 44.77 Mn 34.23 Mn 15.07 Mn -21.27 Mn

Historic Data

Download Data
DateValue
Mar 31, 2026 -21.27 Mn
Dec 31, 2025 -31.70 Mn
Sep 30, 2025 -14.06 Mn
Jun 30, 2025 -10.13 Mn
Mar 31, 2025 -6.38 Mn
Dec 31, 2024 -9.11 Mn
Sep 30, 2024 -24.60 Mn
Jun 30, 2024 -26.93 Mn
Mar 31, 2024 3.66 Mn
Dec 31, 2023 -52.15 Mn
Sep 30, 2023 -20.35 Mn
Jun 30, 2023 -50.51 Mn
Mar 31, 2023 -29.86 Mn
Dec 31, 2022 -111.33 Mn
Sep 30, 2022 -7.01 Mn
Jun 30, 2022 -23.72 Mn
Mar 31, 2022 1.03 Mn
Dec 31, 2021 -15.51 Mn
Sep 30, 2021 -49.87 Mn
Jun 30, 2021 45.82 Mn